Predicting brain-age from multimodal imaging data captures cognitive impairment

NeuroImage

Volumn 148, Issue , 2017, Pages 179-188

  Liem, Franziskus ^a   Varoquaux, Gaël ^d,e   Kynast, Jana ^a   Beyer, Frauke ^a,b   Kharabian Masouleh, Shahrzad ^a   Huntenburg, Julia M ^a,c   Lampe, Leonie ^a,b   Rahim, Mehdi ^d,e   Abraham, Alexandre ^d,e   Craddock, R Cameron ^f,g   Riedel Heller, Steffi ^b   Luck, Tobias ^b   Loeffler, Markus ^b   Schroeter, Matthias L ^a,b   Witte, Anja Veronica ^a,b   Villringer, Arno ^a,b   Margulies, Daniel S ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

^c FREIE UNIVERSITÄT BERLIN   (Germany)

^d INRIA Parietal Project Team   (France)

^e DIF   (France)

^f NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^g CHILD MIND INSTITUTE   (United States)

Author keywords

Biomarker; Cognition; Head motion; Machine learning

Indexed keywords

ADULT; AGE; AGED; ARTICLE; BRAIN AGE; COGNITIVE DEFECT; FEMALE; FUNCTIONAL CONNECTIVITY; HEAD MOVEMENT; HUMAN; MALE; MULTIMODAL IMAGING; NEUROIMAGING; PREDICTION; BIOLOGICAL MODEL; BRAIN; BRAIN CORTEX; DIAGNOSTIC IMAGING; GROWTH, DEVELOPMENT AND AGING; MIDDLE AGED; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; PROCEDURES; PSYCHOLOGY; REPRODUCIBILITY; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; BRAIN; CEREBRAL CORTEX; COGNITIVE DYSFUNCTION; FEMALE; HEAD MOVEMENTS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; MULTIMODAL IMAGING; NEUROPSYCHOLOGICAL TESTS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 85009774598     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.11.005     Document Type: Article

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